Triple
T8882466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somali Region |
E211442
|
entity |
| Predicate | borderLengthWithSomalia |
P19532
|
FINISHED |
| Object | longest international border of Ethiopia |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: longest international border of Ethiopia | Statement: [Somali Region, borderLengthWithSomalia, longest international border of Ethiopia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderLengthWithSomalia Context triple: [Somali Region, borderLengthWithSomalia, longest international border of Ethiopia]
-
A.
borderTypeWithYemen
Indicates the type or nature of the border that exists between a given entity and Yemen.
-
B.
shareLandBorderLengthApproxKm
Indicates that two entities share a land border whose length is approximately the given number of kilometers.
-
C.
borderTypeWithItaly
Indicates the type or nature of the border that an entity shares with Italy.
-
D.
borderCountrySide
Indicates that one country shares a land border with the side or region of another country.
-
E.
longestLandBorderWith
chosen
Indicates that two entities share a land border and that this border is the longest land border for at least one of the entities.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc616a01f48190b8bbde0e898a38c7 |
completed | April 1, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2956788190a311c647b4da17a6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:53 p.m.